Dr Slava Vaisman

Lecturer

Mathematics

+61 7 336 53264

r.vaisman@uq.edu.au

Building 69, Room 716

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Personal page

Dr Slava Vaisman's personal page

Teaching and learning

Dr Vaisman teaches 4th year advanced probability and stochastic processes.

Researcher biography

Radislav (Slava) Vaisman is a faculty member in the School of Mathematics and Physics at the University of Queensland. Radislav earned his Ph.D. in Information System Engineering from the Technion, Israel Institute of Technology in 2014. Radislav's research interests lie at the intersection of applied probability, statistics, and computer science. Such a multidisciplinary combination allows him to handle both theoretical and real-life problems, in the fields of machine learning, optimization, safety, and system reliability research, and more. He has published in top-ranking journals such as Statistics and Computing, INFORMS, Journal on Computing, Structural Safety, and IEEE Transactions on Reliability. The Stochastic Enumeration algorithm, which was introduced and analyzed by Radislav Vaisman, had led to the efficient solution of several problems that were out of reach of state of the art methods. In addition, he is an author of 3 books with three of the most prestigious publishers in the field, Wiley, Springer, and CRC Press. Radislav serves on the editorial board of the Stochastic Models journal.

Featured projects	Duration
Minimum Labelling Spanning Trees

Publications

Books (3)

Book Chapter (1)

Journal Articles (18)

Conference Papers (5)

Books

Kroese, Dirk P., Botev, Zdravko I., Taimre, Thomas and Vaisman, Radislav (2019). Data science and machine learning: Mathematical and statistical methods. Boca Raton, FL, United States: CRC Press.

Gertsbakh, Ilya, Shpungin, Yoseph and Vaisman, Radislav (2014). Ternary networks: reliability and Monte Carlo. Heidelberg, Berlin: Springer.

Rubinstein, Reuven Y, Ridder, Ad and Vaisman, Radislav (2014). Fast sequential Monte Carlo methods for counting and optimization. Hoboken, NJ, United States: John Wiley & Sons. doi: 10.1002/9781118612323

Book Chapter

Gertsbakh, Ilya B., Shpungin, Yoseph and Vaisman, Radislav (2018). Reliability of a network with heterogeneous components. Recent Advances in Multi-state Systems Reliability. (pp. 3-18) Cham, Switzerland: Springer. doi: 10.1007/978-3-319-63423-4_1

Journal Articles

Vaisman, Radislav (2020). Subset selection via continuous optimization with applications to network design. Environmental Monitoring and Assessment, 192 (6) 361, 361. doi: 10.1007/s10661-019-7938-6

Vaisman, Radislav and Kroese, Dirk P. (2018). On the analysis of independent sets via multilevel splitting. Networks, 71 (3), 281-301. doi: 10.1002/net.21805

Vaisman, Radislav, Roughan, Matthew and Kroese, Dirk P. (2017). The Multilevel Splitting algorithm for graph colouring with application to the Potts model. Philosophical Magazine, 97 (19), 1646-1673. doi: 10.1080/14786435.2017.1312023

Finkelstein, Maxim, Gertsbakh, Ilya and Vaisman, Radislav (2017). On a single discrete scale for preventive maintenance with two shock processes affecting a complex system. Applied Stochastic Models in Business and Industry, 33 (1), 54-62. doi: 10.1002/asmb.2218

Gertsbakh, Ilya B. and Vaisman, Radislav (2016). Resilience of finite networks against simple and combined attack on their nodes. Reliability: Theory and Applications, 11 (4 (43)), 8-18.

Vaisman, Radislav, Kroese, Dirk P. and Gertsbakh, Ilya B. (2016). Splitting sequential Monte Carlo for efficient unreliability estimation of highly reliable networks. Structural Safety, 63, 1-10. doi: 10.1016/j.strusafe.2016.07.001

Vaisman, Radislav, Botev, Zdravko I. and Ridder, Ad (2016). Sequential Monte Carlo for counting vertex covers in general graphs. Statistics and Computing, 26 (3), 591-607. doi: 10.1007/s11222-015-9546-9

Vaisman, Radislav, Kroese, Dirk P. and Gertsbakh, Ilya B. (2016). Improved sampling plans for combinatorial invariants of coherent systems. IEEE Transactions on Reliability, 65 (1) 7161416, 410-424. doi: 10.1109/TR.2015.2446471

Gertsbakh, Ilya B, Shpungin, Yoseph and Vaisman, Radislav (2015). D-spectrum and reliability of a binary system with ternary components. Probability in the Engineering and Informational Sciences, 30 (1), 25-39. doi: 10.1017/S0269964815000261

Vaisman, Radislav and Kroese, Dirk P (2015). Stochastic Enumeration Method for Counting Trees. Methodology and Computing in Applied Probability, 19 (1), 31-73. doi: 10.1007/s11009-015-9457-4

Vaisman, Radislav, Strichman, Ofer and Gertsbakh, Ilya (2015). Model counting of monotone conjunctive normal form formulas with Spectra. INFORMS Journal On Computing, 27 (2), 406-415. doi: 10.1287/ijoc.2014.0633

Gertsbakh, Ilya, Neuman, Eyal and Vaisman, Radislav (2014). Monte Carlo for estimating exponential convolution. Communications in Statistics - Simulation and Computation, 44 (10), 2696-2704. doi: 10.1080/03610918.2013.842591

Gertsbakh, Ilya, Shpungin, Yoseph and Vaisman, Radislav (2014). Network reliability Monte Carlo with nodes subject to failure. International Journal of Performability Engineering, 10 (2), 163-172.

Gertsbach, Ilya, Rubinstein, Reuven, Shpungin, Yoseph and Vaisman, Radislav (2014). Permutational methods for performance analysis of stochastic flow networks. Probability In The Engineering And Informational Sciences, 28 (1), 21-38. doi: 10.1017/S0269964813000302

Dupuis, Paul, Kaynar, Baher, Ridder, Ad, Rubinstein, Reuven and Vaisman, Radislav (2012). Counting with combined splitting and capture-recapture methods. Stochastic Models, 28 (3), 478-502. doi: 10.1080/15326349.2012.699761

Rubinstein, Reuven, Dolgin, Andrey and Vaisman, Radislav (2012). The splitting method for decision making. Communications in Statistics: Simulation and Computation, 41 (6), 905-921. doi: 10.1080/03610918.2012.625339

C'erou, Frédéric, Guyader, Arnaud, Rubinstein, Reuven and Vaisman, Radislav (2011). On the use of smoothing to improve the performance of the splitting method. Stochastic Models, 27 (4), 629-650. doi: 10.1080/15326349.2011.614188

Glynn, Peter W., Dolgin, Andrey, Rubinstein, Reuven Y. and Vaisman, Radislav (2010). How to generate uniform samples on discrete sets using the splitting method. Probability in the Engineering and Informational Sciences, 24 (3), 405-422. doi: 10.1017/S0269964810000057

Conference Papers

Moreno, Gabriel A., Strichman, Ofer, Chaki, Sagar and Vaisman, Radislav (2017). Decision-making with cross-entropy for self-adaptation. 12th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2017, Buenos Aires, Argentina, 22 - 23 May 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/SEAMS.2017.7

Salomone, Robert, Vaisman, Radislav and Kroese, Dirk (2016). Estimating the number of vertices in convex polytopes. 4th Annual International Conference on Operations Research and Statistics (ORS 2016), 5th Annual Conference on Computational Mathematics, Computational Geometry & Statistics (CMCGS 2016), Singapore, Singapore, 18 - 19 January 2016. Singapore, Singapore: Global Science and Technology Forum. doi: 10.5176/2251-1938_ORS16.25

Gertsbakh, Ilya B. , Shpungin, Yoseph and Vaisman, Radislav (2016). D-spectra for networks with binary and ternary components. Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO’16), Beer Sheva, Israel, 15 -18 Febuary 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/SMRLO.2016.44

Shah, Rohan and Vaisman, Radislav (2016). New sampling plans for estimating residual connectedness reliability. 4th Annual International Conference on Operations Research and Statistics (ORS 2016), City of Singapore, Singapore, 18-19 January 2016. Singapore: Global Science and Technology Forum. doi: 10.5176/2251-1938_ORS16.18

Botev, Zdravko I., Vaisman, Slava, Rubinstein, Reuven Y. and L’Ecuyer, Pierre (2014). Reliability of stochastic flow networks with continuous link capacities. 2014 Winter Simulation Confernce, Savannah, GA, USA, 7-10 December 2014. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/WSC.2014.7019919

Areas of research

Statistics and probability